Modern drug design relies on a detailed understanding of the molecular recognition process by which biological partners such as a protein and a drug interact and bind to each other. Accounting for the correct structural rearrangements accompanying this process by means of generally applicable and high-throughput in silico methods such as molecular docking represents a great challenge. In this review, we summarize the recent advances in the modeling of molecular recognition accounting for receptor flexibility. First, we outline the theoretical background behind molecular recognition events. Next, we introduce the reader to molecular docking, focusing on some of the current methodologies to treat receptor flexibility and highlighting some of the most successful approaches developed in the last years. Finally, we describe approaches based on molecular dynamics simulations and machine learning algorithms to simulate molecular recognition events. Along the review, we discuss the major strengths and pitfalls of current methodologies, mentioning possible future developments in the field.
Basciu, A., Callea, L., Motta, S., Bonvin, A., Bonati, L., Vargiu, A. (2022). No dance, no partner! A tale of receptor flexibility in docking and virtual screening. In J. Caballero (a cura di), Annual Reports in Medicinal Chemistry Part of volume Virtual Screening and Drug Docking (pp. 43-97). Academic Press Inc. [10.1016/bs.armc.2022.08.006].
No dance, no partner! A tale of receptor flexibility in docking and virtual screening
Callea L.Co-primo
;Motta S.Co-primo
;Bonati L.
;
2022
Abstract
Modern drug design relies on a detailed understanding of the molecular recognition process by which biological partners such as a protein and a drug interact and bind to each other. Accounting for the correct structural rearrangements accompanying this process by means of generally applicable and high-throughput in silico methods such as molecular docking represents a great challenge. In this review, we summarize the recent advances in the modeling of molecular recognition accounting for receptor flexibility. First, we outline the theoretical background behind molecular recognition events. Next, we introduce the reader to molecular docking, focusing on some of the current methodologies to treat receptor flexibility and highlighting some of the most successful approaches developed in the last years. Finally, we describe approaches based on molecular dynamics simulations and machine learning algorithms to simulate molecular recognition events. Along the review, we discuss the major strengths and pitfalls of current methodologies, mentioning possible future developments in the field.
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